Zhishan Guo

Computer Science

Zhishan Guo is an associate professor in the Department of Computer Science at NC State University. His research interests lie in real-time scheduling theory, machine learning theory and their applications to Cyber-Physical Systems.

Education

DegreeProgramSchoolYear
Ph.D.Doctor of Philosophy in Computer ScienceUNC - Chapel Hill2016
MPhilMaster of Philosophy in Mechanical and Automation EngineeringChinese University of Hong Kong2011
BEBachelor of Engineering in Computer Science and TechnologyTsinghua University2009
 

Honors and Awards

  • 2023 | ACM SIGBED CAREER Award
  • 2022 | UCF Reach for the Stars Award
  • 2021 | Best Industry Solution Award, RTSS
  • 2020 | Best Paper Award, EMSOFT
  • 2019 | Best Student Paper Award, RTSS
  • 2019 | Outstanding Paper Award, RTSS
  • 2014 | Outstanding (Faculty) Undergraduate Teaching Award, UNC-Chapel Hill

 

Publications

Augmented Neural Fine-Tuning for Efficient Backdoor Purification
Karim, N., Al Arafat, A., Khalid, U., Guo, Z., & Rahnavard, N. (2025), COMPUTER VISION - ECCV 2024, PT LXXX, Vol. 15138, pp. 401–418. https://doi.org/10.1007/978-3-031-72989-8_23
CardiacRT-NN: Real-Time Detection of Cardiovascular Disease Using Self-attention CNN-LSTM for Embedded Systems
Li, Y., Sui, N., Gehi, A., Guo, C., & Guo, Z. (2024), ADVANCES IN NEURAL NETWORKS-ISNN 2024, Vol. 14827, pp. 610–621. https://doi.org/10.1007/978-981-97-4399-5_58
Connecting the physical space and cyber space of autonomous systems more closely
Li, X., Sun, J., Wang, J., Duan, K., Chen, M., Guan, N., … Xie, Y. (2024, August 23), REAL-TIME SYSTEMS, Vol. 8. https://doi.org/10.1007/s11241-024-09426-4
Dynamic Priority Scheduling of Multithreaded ROS 2 Executor With Shared Resources
Al Arafat, A., Wilson, K., Yang, K., & Guo, Z. (2024), IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 43(11), 3732–3743. https://doi.org/10.1109/TCAD.2024.3445259
ESG: Pipeline-Conscious E.icient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPUs
Hui, X., Xu, Y., Guo, Z., & Shen, X. (2024), PROCEEDINGS OF THE 33RD INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE PARALLEL AND DISTRIBUTED COMPUTING, HPDC 2024. https://doi.org/10.1145/3625549.3658657
Fisher Information guided Purification against Backdoor Attacks
Karim, N., Arafat, A. A., Rakin, A. S., Guo, Z., & Rahnavard, N. (2024, December 2). , . https://doi.org/10.1145/3658644.3690250
From cache and memory management to WCET analysis
Guo, Z., & Boyer, M. (2024, November 27), REAL-TIME SYSTEMS, Vol. 11. https://doi.org/10.1007/s11241-024-09434-4
Multi-Accelerator Neural Network Inference via TensorRT in Heterogeneous Embedded Systems
Zhou, Y., Guo, Z., Dong, Z., & Yang, K. (2024), 2024 IEEE 48TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC 2024, pp. 463–472. https://doi.org/10.1109/COMPSAC61105.2024.00070
AA-forecast: anomaly-aware forecast for extreme events
Farhangi, A., Bian, J., Huang, A., Xiong, H., Wang, J., & Guo, Z. (2023), Data Mining and Knowledge Discovery, 37(3), 1209–1229. https://doi.org/10.1007/s10618-023-00919-7
Compositional Mixed-Criticality Systems with Multiple Executions and Resource-Budgets Model
Al Arafat, A., Vaidhun, S., Liu, L., Yang, K., & Guo, Z. (2023), 2023 IEEE 29TH REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM, RTAS, pp. 67–79. https://doi.org/10.1109/RTAS58335.2023.00013

View all publications via NC State Libraries

Zhishan Guo